+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Mistral Small 3.1 24B Base vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 5.8% higher average benchmark score. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
5 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30
+
+
+
+
Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
Mistral Small 3.1 24B Base
Average Score:68.5%(+5.8%)
+
+
+
+
Qwen2.5-Coder 32B Instruct
Average Score:62.7%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Mistral Small 3.1 24B Base
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
+
+
+
+
Qwen2.5-Coder 32B Instruct
+
+
+
+
Mistral Small 3.1 24B Base
Avg Score:68.5%(+5.8%)
Providers:1
+
+
+
+
Qwen2.5-Coder 32B Instruct
Avg Score:62.7%
Providers:4